Data Scientist, Artificial Intelligence in London

FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.

Data scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.

FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization, and developing and maintaining production-grade agentic RAG systems that serve the entire firm.

As a Data Scientist, you will research solutions and deliver high-quality outcomes with minimal guidance from Senior Data Scientists. You will mentor junior colleagues and lead sub-projects on larger initiatives.

What You'll Do

• Data Management
  • Perform data availability/quality assessments
  • Develop comprehensive ETL processes
• Data Analysis
  • Perform exploratory data analysis and render key insights through evidenced results
  • Execute data quality assessments
  • Illustrate material understandings through coherent data visualizations
  • Execute and tune statistical analyses
• Modeling
  • Conduct necessary research for proof-of-concept model selection
  • Identify viable model features and apply appropriate normalizations
  • Appropriately log model parameters and metrics for comparison
  • Diligently optimize current processes and pipelines
  • Perform quality control
  • Actively work on ModelOps design and implementation
• Engineering
  • Develop data pipelines and models that are well designed and auditable
  • Develop production ready code that is scalable, maintainable, and adheres to best design principles
  • Develop scalable Gen AI solutions
• Communication
  • Frequently partner with internal and external stakeholders both technical and non-technical
  • Provide guidance to junior data scientists

This is an excellent opportunity for a person with proven data science experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Data Scientists will have opportunities to collaborate laterally and vertically, internally, and externally, as well as contribute to projects through developing various approaches to complex issues.

How You'll Grow

We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.

As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.

What You Will Need to Succeed

• Experience in ideating a proof-of-concept and of independently managing workstreams in larger projects.
• Experience in mentoring junior resources.

Basic Qualifications

• Bachelor's degree in Math, Physics, Computer Science, Statistics, or equivalent qualifications
• A couple of years of data science experience
• Ability to travel to clients and FTI office(s)

Technical Platform Requirements

• Proficiency in Python including in depth knowledge of object-oriented programming and design principles.
• Proficiency in SQL including strong knowledge of database structure and efficiency.
• Proficiency in Git
• Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensorflow, Scikit-Learn, and Spacy
• Experience in any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.
• Experience with working cloud environments such as AWS

Technical Concept Requirements

• Experience in any of the following AI/ML topics within a work context: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions with the ability to discuss in depth the design decisions.
• Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents.
• Understanding of AI/ML performance measurement best practices including but not limited to how to build and apply a QA/QC framework and knowledge of drift, bias, and fairness.
• Experience in any of the following computer science concepts: Hashing, Space Complexity, and Parallel Processing (Multiprocessing)
• Ability to work with Linux/*nix systems, bash scripting, SSH (with some instruction).
• Experience in a Solution Architect role, with a demonstrated ability to design technical solutions including but not limited to Database Design, ModelOps, and Orchestration.